Rex Ying
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Artificial Intelligence top 1%
- Advanced Graph Neural Networks
- Explainable Artificial Intelligence (XAI)
- Privacy-Preserving Technologies in Data
- Adversarial Robustness in Machine Learning
Papers in
-
- Advanced Graph Neural Networks 16
- Topic Modeling 15
- Explainable Artificial Intelligence (XAI) 5
- Domain Adaptation and Few-Shot Learning 4
- Neural Networks and Applications 3
- Natural Language Processing Techniques 3
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- Graph Theory and Algorithms 3
- Co-authors
- Jure Leskovec (9 shared papers)William L. Hamilton (1 shared paper)Kaifeng Chen (1 shared paper)Jiaxuan You (3 shared papers)Marinka Žitnik (1 shared paper)Dylan Bourgeois (1 shared paper)Guangtao Wang (2 shared papers)Jing Huang (2 shared papers)
- Journals
- Nature Machine Intelligence (2 papers)npj Digital Medicine (1 paper)IEEE Access (1 paper)Machine Learning (1 paper)Journal of Biomechanics (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Rex Ying
48 papers receiving 3k citations
Rex Ying's Hit Papers
Peers
Comparison fields: 5 of 97
- Information Systems 1.1k
- Artificial Intelligence 1.2k
- Hardware and Architecture 108
- Computer Vision and Pattern Recognition 262
- Computational Theory and Mathematics 105
Countries citing papers authored by Rex Ying
This map shows the geographic impact of Rex Ying's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rex Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rex Ying more than expected).
Fields of papers citing papers by Rex Ying
This network shows the impact of papers produced by Rex Ying. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rex Ying. The network helps show where Rex Ying may publish in the future.
Co-authors
The 25 scholars most cited alongside Rex Ying, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Graph Convolutional Neural Networks for Web-Scale Recommender Systems Hit paper breakdown → | 2018 | 2203 |
| 2 | GNNExplainer: Generating Explanations for Graph Neural Networks. | 2019 | 268 |
| 3 | 2021 | 96 | |
| 4 | 2021 | 79 | |
| 5 | Hyperbolic Graph Convolutional Neural Networks. | 2019 | 46 |
| 6 | 2020 | 44 | |
| 7 | 2021 | 40 | |
| 8 | 2023 | 33 | |
| 9 | 2021 | 25 | |
| 10 | 2022 | 19 | |
| 11 | 2022 | 18 | |
| 12 | 2023 | 14 | |
| 13 | 2023 | 11 | |
| 14 | 2024 | 11 | |
| 15 | 2016 | 9 | |
| 16 | 2024 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2023 | 5 |
About Rex Ying
Rex Ying is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Molecular Biology and Signal Processing, having authored 58 papers that have together received 3k indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (16 papers), Topic Modeling (15 papers), Explainable Artificial Intelligence (XAI) (5 papers), Domain Adaptation and Few-Shot Learning (4 papers), Single-cell and spatial transcriptomics (4 papers), Neural Networks and Applications (3 papers), Natural Language Processing Techniques (3 papers) and Graph Theory and Algorithms (3 papers). The work is most often cited by research in Information Systems (1.1k citations), Artificial Intelligence (1.2k citations), Hardware and Architecture (108 citations), Computer Vision and Pattern Recognition (262 citations) and Computational Theory and Mathematics (105 citations). Rex Ying has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Jure Leskovec, William L. Hamilton, Kaifeng Chen, Jiaxuan You, Marinka Žitnik, Dylan Bourgeois, Guangtao Wang, Jing Huang, Jonathan M. Gomes-Selman and Christopher Ré. Their work appears in journals such as Nature Machine Intelligence, npj Digital Medicine, IEEE Access, Machine Learning and Journal of Biomechanics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.